Hugging Face's logo

prithivMLmods
/
Fire-Risk-Detection

Image Classification
Transformers
Safetensors
English
siglip
fire-risk
detection
siglip2
Model card Files
xet
Community
Fire-Risk-Detection
File size: 1,816 Bytes 
90b6c75
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
 
{
  "best_global_step": 2198,
  "best_metric": 1.0199397802352905,
  "best_model_checkpoint": "siglip2-finetune-full/checkpoint-2198",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 2198,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.22747952684258416,
      "grad_norm": 30.234283447265625,
      "learning_rate": 1.7929130234698574e-06,
      "loss": 1.2741,
      "step": 500
    },
    {
      "epoch": 0.4549590536851683,
      "grad_norm": 22.959794998168945,
      "learning_rate": 1.5628163828808099e-06,
      "loss": 1.1086,
      "step": 1000
    },
    {
      "epoch": 0.6824385805277525,
      "grad_norm": 22.508281707763672,
      "learning_rate": 1.3327197422917624e-06,
      "loss": 1.0646,
      "step": 1500
    },
    {
      "epoch": 0.9099181073703366,
      "grad_norm": 23.277908325195312,
      "learning_rate": 1.102623101702715e-06,
      "loss": 1.0494,
      "step": 2000
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5876782642078173,
      "eval_loss": 1.0199397802352905,
      "eval_model_preparation_time": 0.0025,
      "eval_runtime": 1231.0032,
      "eval_samples_per_second": 57.133,
      "eval_steps_per_second": 7.142,
      "step": 2198
    }
  ],
  "logging_steps": 500,
  "max_steps": 4396,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 5.890852013733292e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}